Cloud Platform Engineer: Azure, Kubernetes & IaC Ops

Xintas; Brussel; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

Xintas is seeking a Cloud Platform Engineer to collaborate with a team of engineers to develop, implement, and manage cloud solutions in our Azure-based platform. You will build automated infrastructure using Terraform and maintain our Kubernetes platform, ensuring scalable, secure deployments.

You will implement CI/CD pipelines, apply IaC and GitOps practices, and work with Databricks and Data Factory to support data workloads. Strong scripting skills and a proactive mindset are essential.

Qualifications

• Experience writing Terraform configurations and modules for scalable cloud platforms.
• Hands-on DevOps and GitOps with infra-as-code and config-as-code.
• Strong Azure cloud expertise with networking and security knowledge.
• Experience with containerized apps (Docker) and orchestration (Kubernetes).
• Familiarity with monitoring and logging tools such as Grafana and Prometheus.

Responsabilités

• Develop, test, debug, and troubleshoot containerized infrastructure.
• Build CI/CD pipeline configurations to provision and deploy systems on Azure.
• Automate and streamline operations and processes.
• Collaborate with business and engineering teams to deploy new infrastructure on the Azure platform.
• Monitor availability, latency, and health of systems.

Connaissances

Terraform

OpenTofu

Docker

Kubernetes

ArgoCD

Helm

DevOps

GitOps

Azure

IaC

Databricks

DataFactory

Grafana

Prometheus

Bash

PowerShell

Python

Outils

Databricks

Azure Data Factory

Grafana

Prometheus

Ansible

Description du poste

Xintas is seeking a Cloud Platform Engineer to collaborate with a team of engineers to develop, implement, and manage cloud solutions in our Azure-based platform. You will build automated infrastructure using Terraform and maintain our Kubernetes platform, ensuring scalable, secure deployments.

You will implement CI/CD pipelines, apply IaC and GitOps practices, and work with Databricks and Data Factory to support data workloads. Strong scripting skills and a proactive mindset are essential.